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Research Fellow in Computational Neuroimaging of Decision-Making

Are you an ambitious researcher looking for your next challenge? Do you have an established background in Human Neuroscience? Do you want to further your career in one of the UKs leading research intensive Universities?

We are looking to appoint a postdoctoral fellow to make a leading contribution to an EU funded project on the neurobiology of human decision making. The post will be based at the School of Biomedical Sciences at the University of Leeds.

The aim of our research is to characterise the spatiotemporal dynamics and the computational principles of the brain networks underlying the processing of multisensory information, the formation of perceptual decisions and the execution of subsequent actions. To this end, we use multimodal recordings including neuroimaging (EEG), motor signals (EMGs and kinematics) and behavioural data coupled with advanced multivariate analysis methods and computational modelling. We develop computational methodologies inspired by machine learning, statistical signal processing, information theory and Bayesian modelling to fuse data from different modalities, extract the main patterns of brain activity and characterise their functional roles with respect to the task at hand.

The primary goal of this project will be to unravel the neural representations of the mental processes implicated in the processing of (multi-)sensory information and the formation of perceptual decisions. Candidates must have previous practical experience in EEG recordings and data analysis as evident by a strong track record of publications in international journals. The post holder must also have working knowledge of multivariate data analysis techniques and excellent programming skills in Matlab and/or Python. 

You should have a PhD (or be close to completion) in a numerate (e.g. computer science, engineering or maths) or neuroscientific (e.g. neuroscience, psychology or cognitive science) discipline, together with experience in human neuroimaging (in particular EEG) experiments and data analysis. A working knowledge of multivariate analysis techniques and computational modelling, as well as excellent programming skills in Matlab and/or Python are essential.

To explore the post further or for any queries you may have, please contact:

Dr Ioannis Delis, Lecturer 

Tel: +44 (0)113 343 3075, email:  

Location:  Leeds - Main Campus
Faculty/Service:  Faculty of Biological Sciences
School/Institute:  School of Biomedical Sciences
Category:  Research
Grade:  Grade 7
Salary:  £33,199 to £39,609 p.a.
Working Time:  100%
Post Type:  Full Time
Contract Type:  Fixed Term (Fixed-term for 30 months due to funding (available from 1 October 2019))
Release Date:  Thursday 06 June 2019
Closing Date:  Sunday 07 July 2019
Reference:  FBSBM1121
Downloads:  Candidate Brief  

The closing date for this job opportunity has now passed, and applications are no longer being accepted for this position

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